📘 Course Description

The Python Master Class is a comprehensive 24-hour curriculum tailored to help absolute beginners get started with Python and enable intermediate programmers to dive deep into advanced features like decorators, context managers, metaclasses, and more. This course emphasizes clean, efficient, and Pythonic programming—making it ideal for anyone aiming to master Python for programming or automation.

🧭 Delivery Format

• Total Duration: 12 weeks (24 hours)
• Delivery Mode: Instructor-led
• Structure: Concept → Code Demo → Hands-on → Review
• Recommended Pace: 2 hrs/weekend × 12 weeks

🧱 Course Modules

Module 1: Python Fundamentals (3 hours)

• Python installation & setup
• Python syntax, code style (PEP8)
• Variables, data types, and expressions
• Input/output and comments
• Basic math and logic

Module 2: Control Structures & Loops (2 hours)

• Conditional statements (if, elif, else)
• Looping: for, while, else on loops
• break, continue
• Comprehensions and iteration best practices

Module 3: Functions & Modular Code (3 hours)

• Defining functions, return, scoping
• Arguments: default, keyword, *args, **kwargs
• Lambda functions
• Writing modular, reusable code
• Python import system and module organization

Module 4: Data Structures in Depth (3 hours)

• Lists, tuples, sets, dictionaries
• Data nesting and manipulations
• When to use what data structure
• Copying objects: copy vs deepcopy
• Iteration patterns and tricks

Module 5: Object-Oriented Programming (OOP) (3 hours)

• Defining classes and objects
• Instance, class, static methods
• Constructors, attributes
• Inheritance and method overriding
• Dunder (magic) methods: __str__, __len__, etc.

Module 6: Error Handling & File I/O (2 hours)

• Try/except patterns
• Raising and defining custom exceptions
• File operations: reading/writing text & binary
• Context manager with with for files

Module 7: Decorators & Closures (2 hours)

• Functions as first-class citizens
• Closures and scopes
• Creating decorators
• Built-in decorators (@property, @classmethod, @staticmethod)
• Real-world use cases: timing, logging, validation

Module 8: Iterators & Generators (2 hours)

• Iterator protocol: __iter__, __next__
• Generator functions and yield
• Generator expressions
• Lazy evaluation, memory-efficient pipelines

Module 9: Context Managers (1 hour)

• with statement deep dive
• Writing custom context managers
• __enter__ and __exit__ methods
• Using contextlib for concise syntax

Module 10: Modules, Packages & Virtual Environments (1 hour)

• Module and package structure
• Imports and namespaces
• Virtual environments with venv
• Dependency management with pip

Module 11: Metaprogramming & Introspection (2 hours)

• Using getattr, setattr, hasattr, dir
• Exploring type(), id(), isinstance()
• Creating and using metaclasses
• Class decorators and dynamic class generation

Module 12: Final Project & Code Review (1 hour)

• Capstone task using decorators, OOP, and context managers
• Code review and debugging
• Tips for writing clean, production-ready Python
• What’s next? Suggested learning paths